The results mainly agreed with our hypothesis. For all 50 years, each station showed some
positive correlations from winter to spring, but the correlations were rarely
greater than 0.25. On the scale from 0
to 1, this is not very high. The
correlations for the ENSO years were generally greater, and all stations showed
an increase in air temperature and precipitation correlations from all years to
the strongest ENSO years. However, the
wind speed and relative humidity correlations seemed very random. This may be because of local effects, such as
terrain in the mountains.

We predicted that the Coastal Plain and the Outer Banks would
correlate more and that was proved to be correct. For ENSO years, the Outer Banks' average
correlation between air temperature and precipitation (0.56 was the greatest of
any region, and the Coastal Plain had the third-greatest average correlation
(0.37).

Concerning our prediction of precipitation having the best
winter-to-spring correlation, this was true for all years but temperature was
better correlated during ENSO years. From this, we predict that ENSO affects our temperature more than our
precipitation. This has been true this winter, which has had strong El Niño and it has been much colder than normal.

Knowing the possible correlations of temperature and
precipitation is important for the agriculture industry in North Carolina since
it is dependent on how dry or cold it is in the spring.